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However, when a system operates in the laminar flow regime, significant fluid dynamic dispersion takes place.
Using the spatial information of particle trajectories, we further analyzed the dynamic dispersion process through moment analysis.
Exploiting the beneficial effects of secondary flow and chaotic advection, so-called coiled flow inverters (CFIs) are a promising solution for the reduction of fluid dynamic dispersion.
A dynamic dispersion model has been built on the basis of a previous model, and the dispersion process of the water-soluble salts in the residues has been studied with respect to time.
One of the possible causes for the considerable rise of system performance is due to the dynamic dispersion of the nanoparticles on the flow field.
It is also found that the dynamic dispersion is comparatively effective at lower flow rate regime, e.g., transition or laminar flow and becomes less effective at higher flow rate regime.
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By comparing the modeling results to experimental data, we are able to simulate the behavior and the gelation process of the injected solute for three different compositions, including long-term stability of the gelated area, and non-gelation of low concentrations due to hydro-dynamic dispersion.
The dynamic axial dispersion model proposed is employed to predict the variation of the ozone, pollutant, and oxygen concentrations profiles.
The dynamic and dispersion characteristics of the flow in the two cases were quite different.
A dynamic axial dispersion model described the tube reactor with the Peclet number estimated from the separate impulse experiments carried out with an inert tracer.
The dynamic axial dispersion model was discretized with finite differences with respect to the spatial coordinate, and the created ordinary differential equations were solved with the backward difference method suitable for stiff differential equations.
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